Abstract
More and more video is generated every day. While today much of this data is produced and stored in analog form, the tendency is to use the digital form. The digital form allows processing of the video data in order to generate appropriate data abstractions that enable content-based retrieval of video. In the future, video databases will be able to be searched with combined text and visual queries. Additionally, video clips will be retrieved from longer sequences in large databases on the basis of the semantic video content. Ideally, the video will also be automatically annotated as a result of the machine interpretation of the semantic content of the video.
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Lew, M.S., Sebe, N., Gardner, P.C. (2001). Video Indexing and Understanding. In: Lew, M.S. (eds) Principles of Visual Information Retrieval. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-3702-3_7
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DOI: https://doi.org/10.1007/978-1-4471-3702-3_7
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